Definition
The Purposes of Simulation encompass the strategic and analytical reasons for employing modeling and computer-generated proxies rather than direct experimentation on physical systems. These focus on knowledge acquisition, policy testing, risk mitigation, and decision-making under uncertainty.
Why It Matters
Simulation is the “safe room” of engineering. If you don’t understand the specific purpose—understanding vs. prediction—you will build models that are either too simple to be useful or too complex to be verified. The stake is the massive capital loss from making a real-world “bet” on a system you haven’t properly stress-tested in a proxy.
Core Concepts
- Gaining Insight / Understanding: Developing an intuitive understanding of the operation and complex interactions within a system that may be impossible to study by stopping it or examining components in isolation.
- Prediction: Forecasting future states of a system under varying input parameters.
- Experimentation & Testing New Concepts: Evaluating proposed systems, designs, or equipment before purchase or physical construction, often at a fraction of the capital investment cost.
- Developing Operating and Resource Policies: Testing changes in scheduling priorities, staffing levels, or resource allocation to optimize system performance safely.
- Information without Disturbance: Experimenting with critical, high-risk, or sensitive systems that cannot be disturbed without serious operational, security, or safety impact.
- Training: Preparing humans or systems for real-world scenarios in a controlled environment (e.g., flight simulators, battlefield exercises).